From One-Size-Fits-All to AI-Driven Personalization in Education
Abstract
The evolution from standardized instruction to AI-driven personalization reflects a growing demand for inclusive, flexible, and learner-centered education. Grounded in key concepts such as differentiation, individualization, and personalization, the discussion explores how AI technologies—adaptive learning platforms, real-time analytics, and intelligent tutoring systems—enable dynamic and tailored instruction that meets diverse learner needs. AI integration not only enhances engagement and equity but also supports meaningful curriculum redesign aligned with 21st-century competencies. Emphasizing innovative pedagogies and ethical implementation, the chapter highlights the strategic role of educators in guiding this transformation. The insights presented contribute to future-proofing curriculum design by aligning technological innovation with holistic student development and sustainable educational outcomes.
Fields of Study & Subjects
Intelligent Tutoring Systems and Adaptive Learning
Online Learning and Analytics
Artificial Intelligence in Education
Publication details
- Journal / source
- Advances in computational intelligence and robotics book series
- Publisher
- IGI Global Scientific Publishing
- Pages
- 197–222
- Publication date
- 5 February 2026
- Document type
- Book chapter